Independent , UK.
Wigan and Leigh Teaching Hospitals NHS Foundation Trust , Wrightington, UK.
Expert Rev Anti Infect Ther. 2020 Nov;18(11):1165-1170. doi: 10.1080/14787210.2020.1792289. Epub 2020 Jul 16.
It has been demonstrated that reduction in smell and/or taste is the most predictive symptom in SARS-CoV-2/Covid-19 infection. We used Google Trends to analyze regional searches relating to loss of smell and taste across Italy, Spain, France, Brazil, and the United States of America and determined the association with reported Covid-19 cases.
In order to retrieve the data, we built a Python software program that provides access to Google Trends data via an application program interface. Daily COVID-19 case data for subregions of the five countries selected were retrieved from respective national health authorities. We sought to assess the association between raw search interest data and COVID-19 new daily cases per million for all regions individually.
In total, we yielded 2188 sets of Google Trends data which included 548 time series of 4 anosmia and ageusia search concepts over the study period for 137 regions. These data indicated that differences in search interest for terms relating to anosmia and ageusia, between regions, is associated with geographical trends in new Covid-19 cases.
We feel that Google search trends relating to loss of smell can be utilized to identify potential Covid-19 outbreaks on a national and regional basis.
已经证明，嗅觉和/或味觉减退是 SARS-CoV-2/COVID-19 感染最具预测性的症状。我们使用 Google Trends 分析了意大利、西班牙、法国、巴西和美国各地与嗅觉和味觉丧失相关的区域搜索，并确定了与报告的 COVID-19 病例的关联。
为了检索数据，我们构建了一个 Python 软件程序，该程序通过应用程序接口提供对 Google Trends 数据的访问。从选定的五个国家的各自国家卫生当局检索了选定国家各地区的 COVID-19 每日病例数据。我们试图评估所有地区的原始搜索兴趣数据与 COVID-19 每百万新每日病例之间的关联。
总共产生了 2188 组 Google Trends 数据，其中包括研究期间 137 个地区的 548 个 anosmia 和 ageusia 搜索概念的时间序列。这些数据表明，与 anosmia 和 ageusia 相关的术语的搜索兴趣差异与新的 COVID-19 病例的地理趋势有关。
我们认为，与嗅觉丧失相关的谷歌搜索趋势可以用于在国家和地区层面识别潜在的 COVID-19 爆发。
